Regularization parameter selection in minimum volume hyperspectral unmixing
Linear hyperspectral unmixing (HU) aims at factoring the observation matrix into an
endmember matrix and an abundance matrix. Linear HU via variational minimum volume …
endmember matrix and an abundance matrix. Linear HU via variational minimum volume …
An integrated approach to registration and fusion of hyperspectral and multispectral images
Combining a hyperspectral (HS) image and a multispectral (MS) image-an example of
image fusion-can result in a spatially and spectrally high-resolution image. Despite the …
image fusion-can result in a spatially and spectrally high-resolution image. Despite the …
Improved estimation of the intrinsic dimension of a hyperspectral image using random matrix theory
M Berman - Remote Sensing, 2019 - mdpi.com
Many methods have been proposed in the literature for estimating the number of materials/
endmembers in a hyperspectral image. This is sometimes called the “intrinsic” dimension …
endmembers in a hyperspectral image. This is sometimes called the “intrinsic” dimension …
An investigation into the impact of band error variance estimation on intrinsic dimension estimation in hyperspectral images
There have been a significant number of recent papers about hyperspectral imaging, which
propose various methods for estimating the number of materials/endmembers in …
propose various methods for estimating the number of materials/endmembers in …
Dielectric Behavior of Sodic Solonchak at 1.41 GHz in the South of Western Siberia
AN Romanov - IEEE Transactions on Geoscience and Remote …, 2019 - ieeexplore.ieee.org
Saline soils, characterized by low biological productivity, bring the threat to food security in
many countries of the world. An urgent task is to develop and improve methods of remote …
many countries of the world. An urgent task is to develop and improve methods of remote …